Brian Hutchinson

49 papers A* 2A 4B 3C 1Misc 6Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emulating the Global Change Analysis Model with deep learning: An energy sector case study. Environ. Model. Softw. Andrew Holmes, Hidemi Mitani Shen, Matt Jensen, Sarah Coffland, Logan Sizemore, Seth Bassetti, Brenna Nieva, Claudia Tebaldi, Abigail Snyder, Brian Hutchinson
2025	—	`conf`	PRIMRose: Insights into the Per-Residue Energy Metrics of Proteins with Double InDel Mutations using Deep Learning. BCB Companion Stella Brown, Nicolas Preisig, Autumn Davis, Brian Hutchinson, Filip Jagodzinski
2025	J	`jnl`	PRIMRose: Insights into the Per-Residue Energy Metrics of Proteins with Double InDel Mutations using Deep Learning. CoRR Stella Brown, Nicolas Preisig, Autumn Davis, Brian Hutchinson, Filip Jagodzinski
2024	J	`jnl`	DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models. CoRR Seth Bassetti, Brian Hutchinson, Claudia Tebaldi, Ben Kravitz
2024	J	`jnl`	Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models. CoRR Katie Christensen, Lyric Otto, Seth Bassetti, Claudia Tebaldi, Brian Hutchinson
2024	J	`jnl`	Emulating the Global Change Analysis Model with Deep Learning. CoRR Andrew Holmes, Matt Jensen, Sarah Coffland, Hidemi Mitani Shen, Logan Sizemore, Seth Bassetti, Brenna Nieva, Claudia Tebaldi, Abigail Snyder, Brian Hutchinson
2023	J	`jnl`	DiffESM: Conditional Emulation of Earth System Models with Diffusion Models. CoRR Seth Bassetti, Brian Hutchinson, Claudia Tebaldi, Ben Kravitz
2023	—	`conf`	RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. BCB Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson
2023	J	`jnl`	RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. CoRR Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson
2021	J	`jnl`	Fine-Grained Classroom Activity Detection from Audio with Neural Networks. CoRR Eric Slyman, Chris Daw, Morgan Skrabut, Ana Usenko, Brian Hutchinson
2021	J	`jnl`	Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks. CoRR Alexis Ayala, Christopher Drazic, Brian Hutchinson, Ben Kravitz, Claudia Tebaldi
2021	J	`jnl`	Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers. CoRR Piper Wolters, Chris Daw, Brian Hutchinson, Lauren Phillips
2020	J	`jnl`	A Study of Few-Shot Audio Classification. CoRR Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips
2020	J	`jnl`	DeepClimGAN: A High-Resolution Climate Data Generator. CoRR Alexandra Puchko, Robert Link, Brian Hutchinson, Ben Kravitz, Abigail Snyder
2020	—	`conf`	Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
2020	J	`jnl`	Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
2019	Misc	`conf`	Deep Learning for Classroom Activity Detection from Audio. ICASSP Robin Cosbey, Allison Wusterbarth, Brian Hutchinson
2019	A	`conf`	Explaining Multimodal Deceptive News Prediction Models. ICWSM Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson
2019	J	`jnl`	Metric-Based Few-Shot Learning for Video Action Recognition. CoRR Chris Careaga, Brian Hutchinson, Nathan Oken Hodas, Lawrence Phillips
2018	J	`jnl`	A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction. J. Bioinform. Comput. Biol. Richard Olney, Aaron Tuor, Filip Jagodzinski, Brian Hutchinson
2018	B	`conf`	Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes. IJCNN Gracie Ermi, Ellyn Ayton, Nolan Price, Brian Hutchinson
2018	—	`conf`	Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations. BCB Nicholas Majeske, Filip Jagodzinski, Brian Hutchinson, Tanzima Z. Islam
2018	J	`jnl`	Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols
2018	—	`conf`	Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. AAAI Workshops Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
2017	—	`conf`	Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	J	`jnl`	Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	B	`conf`	Low n-rank tensor log-linear models for classification. IJCNN Caleb Nelson, Yulo Leake, Brian Hutchinson
2017	A*	`conf`	Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	—	`conf`	Predicting the Effect of Point Mutations on Protein Structural Stability. BCB Roshanak Farhoodi, Max Shelbourne, Rebecca Hsieh, Nurit Haspel, Brian Hutchinson, Filip Jagodzinski
2017	J	`jnl`	Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
2016	J	`jnl`	Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search. IEEE ACM Trans. Audio Speech Lang. Process. Yanzhang He, Peter Baumann, Hao Fang, Brian Hutchinson, Aaron Jaech, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert
2015	J	`jnl`	A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios. IEEE ACM Trans. Audio Speech Lang. Process. Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2015	B	`conf`	The Tensor Deep Stacking Network Toolkit. IJCNN David Palzer, Brian Hutchinson
2014	Misc	`conf`	Subword-based modeling for handling OOV words inkeyword spotting. ICASSP Yanzhang He, Brian Hutchinson, Peter Baumann, Mari Ostendorf, Eric Fosler-Lussier, Janet B. Pierrehumbert
2013	Misc	`conf`	Exceptions in language as learned by the multi-factor sparse plus low-rank language model. ICASSP Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2013	J	`jnl`	Learning Phrase Patterns for Text Classification. IEEE Trans. Speech Audio Process. Bin Zhang, Alex Marin, Brian Hutchinson, Mari Ostendorf
2013	J	`jnl`	Tensor Deep Stacking Networks. IEEE Trans. Pattern Anal. Mach. Intell. Brian Hutchinson, Li Deng, Dong Yu
2012	A	`conf`	A Sparse Plus Low Rank Maximum Entropy Language Model. INTERSPEECH Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2012	Misc	`conf`	A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition. ICASSP Brian Hutchinson, Li Deng, Dong Yu
2012	A	`conf`	Parallel Training for Deep Stacking Networks. INTERSPEECH Li Deng, Brian Hutchinson, Dong Yu
2011	C	`conf`	Analyzing conversations using rich phrase patterns. ASRU Bin Zhang, Alex Marin, Brian Hutchinson, Mari Ostendorf
2011	Misc	`conf`	Learning non-parametric models of pronunciation. ICASSP Brian Hutchinson, Jasha Droppo
2011	J	`jnl`	Low Rank Language Models for Small Training Sets. IEEE Signal Process. Lett. Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2010	—	`conf`	"What i know is...": establishing credibility on Wikipedia talk pages. Int. Sym. Wikis Meghan Oxley, Jonathan T. Morgan, Mark Zachry, Brian Hutchinson
2010	—	`conf`	Extracting Phrase Patterns with Minimum Redundancy for Unsupervised Speaker Role Classification. HLT-NAACL Bin Zhang, Brian Hutchinson, Wei Wu, Mari Ostendorf
2010	Misc	`conf`	Unsupervised broadcast conversation speaker role labeling. ICASSP Brian Hutchinson, Bin Zhang, Mari Ostendorf
2008	A	`conf`	Non-segmental duration feature extraction for prosodic classification. INTERSPEECH Amy Dashiell, Brian Hutchinson, Anna Margolis, Mari Ostendorf
2008	—	`conf`	Towards Standardisation of Online Dispute Resolution Tools. ODR Arno R. Lodder, Andrea Borri, Jacques Gouimenou, Brian Hutchinson, Vincent Tilman
2006	A*	`conf`	Multiclass Support Vector Machines for Articulatory Feature Classification. AAAI Brian Hutchinson, Jianna Zhang